CCA Spark and Hadoop Developer (CCA175) Exam Questions 2024
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Transform, Stage, and Store
Convert a set of data values in a given format stored in HDFS into new data values or a new data format and write them into HDFS.
- Load data from HDFS for use in Spark applications
- Write the results back into HDFS using Spark
- Read and write files in a variety of file formats
- Perform standard extract, transform, load (ETL) processes on data using the Spark API
Use Spark SQL to interact with the metastore programmatically in your applications. Generate reports by using queries against loaded data.
- Use metastore tables as an input source or an output sink for Spark applications
- Understand the fundamentals of querying datasets in Spark
- Filter data using Spark
- Write queries that calculate aggregate statistics
- Join disparate datasets using Spark
- Produce ranked or sorted data
This is a practical exam and the candidate should be familiar with all aspects of generating a result, not just writing code.
- Supply command-line options to change your application configuration, such as increasing available memory
About this certification CCA Spark and Hadoop Developer (CCA175) Exam Questions 2024
- Number of Questions: 8–12 performance-based (hands-on) tasks on Cloudera Enterprise cluster. See below for full cluster configuration
- Time Limit: 120 minutes
- Passing Score: 70%
- Language: English
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